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Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype

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Manage episode 423025225 series 2967424
Content provided by Cambridge Healthtech Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cambridge Healthtech Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

his special episode of The Chain features a panel of industry experts who discussed AI and ML in antibody discovery and engineering at this year’s PEGS Boston event. Peter Tessier, professor at the University of Michigan; Andrew Bradbury, CSO at Specifica; Andrew Waight, Senior Director of Machine Learning, Discovery Biologics & Protein Sciences at Merck Research Labs; Peyton Greenside, Co-Founder & CSO of BigHat Biosciences; and Paolo Marcatili, Director of Antibody Design at Novo Nordisk take on where AI/ML has the biggest impact, what the hype is in the use of AI/ML in antibody discovery, how new AI/ML methods are being benchmarked against traditional discovery methods, and what controls should be used in an AI/ML discovery or optimization campaign.

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67 episodes

Artwork
iconShare
 
Manage episode 423025225 series 2967424
Content provided by Cambridge Healthtech Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cambridge Healthtech Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

his special episode of The Chain features a panel of industry experts who discussed AI and ML in antibody discovery and engineering at this year’s PEGS Boston event. Peter Tessier, professor at the University of Michigan; Andrew Bradbury, CSO at Specifica; Andrew Waight, Senior Director of Machine Learning, Discovery Biologics & Protein Sciences at Merck Research Labs; Peyton Greenside, Co-Founder & CSO of BigHat Biosciences; and Paolo Marcatili, Director of Antibody Design at Novo Nordisk take on where AI/ML has the biggest impact, what the hype is in the use of AI/ML in antibody discovery, how new AI/ML methods are being benchmarked against traditional discovery methods, and what controls should be used in an AI/ML discovery or optimization campaign.

  continue reading

67 episodes

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